AlaaSedeeq / Convolutional-GAIN

An implementation to Convolutional generative adversarial imputation networks for spatio-temporal missing data Nets Paper (Conv-GAIN)

Convolutional generative adversarial imputation networks for spatio-temporal missing data (Conv-GAIN)

The objective of this project is to Implement the Conv-GAIN paper.

Authors: Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis

Paper: Ehsan Adeli, Jize Zhang, Alexandros A. Taflanidis, "Conv-GAIN: Missing Data Imputation using Convolutional Generative Adversarial Nets for spatio-temporal missing data in storm surge simulations. 26 Nov 2021.

Paper Link: Paper

Contact: [e-mail]

This implementation is used in my collaboration project Millan Data Imputation And Forecasting

My HandWritten Conv-GAIN architecture

The Proposed Conv-GAIN model in the paper